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An introduction to MCMC for machine learning

Abstract:
This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method with emphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chain Monte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly, it discusses new interesting research horizons.
Publication status:
Published

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Publisher copy:
10.1023/A:1020281327116

Authors


Andrieu, C More by this author
de Freitas, N More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Jordan, MI More by this author
Journal:
MACHINE LEARNING
Volume:
50
Issue:
1-2
Pages:
5-43
Publication date:
2003
DOI:
ISSN:
0885-6125
URN:
uuid:a4728dd8-7230-442e-9dd8-5d53cf5bc4b6
Source identifiers:
172703
Local pid:
pubs:172703

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